Results 121 to 130 of about 1,693,747 (308)
What does the future hold for theoretical computer science? [PDF]
Sannella, Donald
core +1 more source
Fecal Microbiota Transplantation Modulates Th17/Treg Balance via JAK/STAT Pathway in ARDS Rats
Fecal microbiota transplantation (FMT) alleviates lung and intestinal injury in lipopolysaccharide (LPS)‐induced acute respiratory distress syndrome (ARDS) in rats. This study demonstrates that FMT restores the balance between Th17 and Treg cells, inhibits the JAK/STAT pathway, and modulates cytokine levels, reducing inflammation and lung damage. These
Dongwei Zhang+8 more
wiley +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source
Editorial: Special Issue on “Theoretical Aspects of Computer Science” (STACS 2015) [PDF]
Ernst Mayr
openalex +1 more source
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
This article approaches the theoretical referents that sustain the professional pedagogical behavior of the Entire General Professor of Secondary School, using computer science in the teaching learning process.
Luis Emilio Caro Betancourt
doaj
Trends, Techniques, and Problems in Theoretical Computer Science
Alica Kelemenová, Jozef Kelemen
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source